AI Engineer (CCC Auto / Agentic)

Role overview Build and operate AI features that help automate routine steps in claims processing and guide users through more complex decisions. You will take work from problem definition to production, combining language models with established workflows, careful evaluation, and privacy and security controls.

Responsibilities - Develop and ship AI features and agent workflows in Python and TypeScript, collaborating with product and data science partners and defining measures of success. - Create evaluations, safeguards, and feedback loops for model outputs, with explicit limits for response time and token use. - Maintain text-processing pipelines that turn unstructured claims information into usable data, combining language models, semantic retrieval, and conventional NLP. - Build resilient event-driven services with retries, idempotent operations, and saved model results so completed steps do not need to run again. - Make model activity traceable and auditable, including links from recommendations to source documents, and use traces to support monitoring. - Apply tenant isolation and least-privilege access, document significant design decisions, and participate in on-call support for the services you own.

Requirements - At least three years of professional software engineering experience, including an AI feature deployed and operated in production. - Strong, practical skills in Python and TypeScript, including typed, tested, asynchronous code. - Experience evaluating language model output and implementing safeguards, structured responses, tool use, and embedding-based retrieval. - Hands-on use of AI coding tools in production work, with a clear approach to limiting their context and checking generated code for correctness and security. - Experience with event-driven systems and durable workflows, including retries, idempotency, and an AI step within a long-running process. - Experience with relational, document, and graph data stores, cloud backend services, and technical design documents; familiarity with Azure or AWS and a durable workflow engine is expected.

Benefits and work setup The role is bonus eligible. Listed benefits include retirement plan matching, paid time off, health coverage, education reimbursement, wellness programs, adoption assistance, and stock purchase options.